jiming peng
jiming peng
Associate professor of IE, University of Houston
Verifierad e-postadress på uh.edu
Citeras av
Citeras av
Self-regularity: a new paradigm for primal-dual interior-point algorithms
J Peng, C Roos, T Terlaky
Princeton University Press, 2009
Self-regular functions and new search directions for linear and semidefinite optimization
J Peng, C Roos, T Terlaky
Mathematical Programming 93 (1), 129-171, 2002
Approximating k-means-type clustering via semidefinite programming
J Peng, Y Wei
SIAM journal on optimization 18 (1), 186-205, 2007
Equivalence of variational inequality problems to unconstrained minimization
JM Peng
Mathematical Programming 78 (3), 347-355, 1997
Scale invariant cosegmentation for image groups
L Mukherjee, V Singh, J Peng
CVPR 2011, 1881-1888, 2011
Optimality conditions for the minimization of a quadratic with two quadratic constraints
JM Peng, Y Yuan
SIAM Journal on Optimization 7 (3), 579-594, 1997
A non-interior continuation method for generalized linear complementarity problems
JM Peng, Z Lin
Mathematical Programming 86 (3), 533-563, 1999
Optimal nearly analytic discrete approximation to the scalar wave equation
D Yang, J Peng, M Lu, T Terlaky
Bulletin of the Seismological Society of America 96 (3), 1114-1130, 2006
On Mehrotra-type predictor-corrector algorithms
M Salahi, J Peng, T Terlaky
SIAM Journal on Optimization 18 (4), 1377-1397, 2008
A new and efficient large-update interior-point method for linear optimization
J Peng, C Roos, T Terlaky
Вычислительные технологии 6 (4), 2001
Primal-dual interior-point methods for second-order conic optimization based on self-regular proximities
J Peng, C Roos, T Terlaky
SIAM Journal on Optimization 13 (1), 179-203, 2002
A hybrid Newton method for solving the variational inequality problem via the D-gap function
JM Peng, M Fukushima
Mathematical Programming 86 (2), 367-386, 1999
Optimization-based dynamic sensor management for distributed multitarget tracking
R Tharmarasa, T Kirubarajan, J Peng, T Lang
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2009
A new class of polynomial primal–dual methods for linear and semidefinite optimization
J Peng, C Roos, T Terlaky
European Journal of Operational Research 143 (2), 234-256, 2002
Ensemble clustering using semidefinite programming with applications
V Singh, L Mukherjee, J Peng, J Xu
Machine learning 79 (1-2), 177-200, 2010
An optimal nearly analytic discrete method for 2D acoustic and elastic wave equations
D Yang, M Lu, R Wu, J Peng
Bulletin of the Seismological Society of America 94 (5), 1982-1992, 2004
New Complexity Analysis of the Primal—Dual Newton Method for Linear Optimization
J Peng, C Roos, T Terlaky
Annals of operations research 99 (1-4), 23-39, 2000
A simply constrained optimization reformulation of KKT systems arising from variational inequalities
F Facchinei, A Fischer, C Kanzow, JM Peng
Applied Mathematics and Optimization 40 (1), 19-37, 1999
A new theoretical framework for k-means-type clustering
J Peng, Y Xia
Foundations and advances in data mining, 79-96, 2005
A Strongly Polynomial Rounding Procedure Yielding a Maximally Complementary Solution for P_*(κ) Linear Complementarity Problems
T Illés, J Peng, C Roos, T Terlaky
SIAM Journal on Optimization 11 (2), 320-340, 2000
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